Diffusion.chat
Engage in creative, personalized conversations with AI model using modifiers, negative prompts, images, and 30 steps.
What is Diffusion.chat?
Diffusion.chat is a conversational AI tool that lets you interact with image generation models through a chat interface. Rather than typing a single prompt and getting a result, you can refine outputs iteratively using modifiers, negative prompts, and image inputs. The tool supports up to 30 steps in your generation process, giving you fine-grained control over image quality and detail. It's designed for creatives, designers, and illustrators who want more control over AI image generation without learning complex technical workflows. The freemium model makes it accessible to experiment with before committing financially.
Key Features
Chat-based interface
converse with the AI model rather than using traditional one-off prompts
Negative prompts
specify what you don't want in generated images to refine results
Image inputs
upload reference images to guide the generation process
Modifiers
apply adjustable parameters to customise output characteristics
Step control
adjust generation steps up to 30 for quality and processing trade-offs
Iterative refinement
build on previous outputs through ongoing conversation
Pros & Cons
Advantages
- Conversational approach makes iteration feel natural rather than repetitive
- Negative prompts and modifiers provide practical control over unwanted elements
- Free tier available to try before paying
- Up to 30 steps allows for detailed, high-quality outputs
Limitations
- Requires learning modifier syntax and best practices for best results
- Processing time increases with higher step counts
- Limited documentation on specific modifier options and their effects
Use Cases
Iterative concept art development where you refine ideas through conversation
Generating stock imagery with specific exclusions (e.g. 'no people, no watermarks')
Creating design variations by uploading a reference image and requesting modifications
Exploring visual styles by testing modifiers without starting from scratch each time
Collaborative ideation where non-technical team members can guide image creation